rasa NLU vs Wit: What are the differences?
What is rasa NLU? Open source, drop-in replacement for NLP tools like wit.ai. rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.
rasa NLU and Wit can be primarily classified as "NLP / Sentiment Analysis" tools.
Some of the features offered by rasa NLU are:
- open source
On the other hand, Wit provides the following key features:
- Voice-enabled Android and iOS apps
- Rasberry Pi based home automation commanded by speech
- Google Glass apps accepting voice commands
rasa NLU is an open source tool with 5.6K GitHub stars and 1.66K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.